FIELD: computing technology.
SUBSTANCE: invention relates to the field of computing technology for processing audio data. The technical result is achieved by defining a deep filter in at least one dimension, involving the stages of: receiving a mixture; assessing a deep filter using a deep neural network; wherein the assessment is performed so that the deep filter receives estimates of the corresponding elements of the required representation when applied to elements of the mixture; wherein the deep filter is created by setting the filter structure with filter variables for a deep filter in at least one dimension and training of a deep neural network, wherein the training is conducted using the mean square error (MSE) between the reference data and the required representation, and minimising the mean square error or the error function between the reference data and the required representation; wherein the deep filter is at least unidimensional and comprises a uni- or a multidimensional tensor with elements (sx, y).
EFFECT: possibility of extracting and/or reconstructing a signal under unfavourable conditions of packet loss or unknown interference.
22 cl, 7 dwg
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